Analyst, Data Engineering - India_AGS

Job Description

Description: ACCOUNTABILITIES Develops technical tools and programming to cleanse, organize and transform data and to maintain, protect and update data structures and integrity on an automated basis. Applies data extraction, transformation, and loading techniques in order to tie together large data sets from a variety of sources. Partners with both internal & external sources to design, build and oversee the deployment and operation of technology architecture, solutions and software. Designs, develops and programs methods, processes and systems to capture, manage, store and utilize structured and unstructured data to generate actionable insights and solutions. Responsible for the maintenance, improvement, cleaning, and manipulation of data in the business s operational and analytics databases. Proactively analyzes and evaluates the business s databases in order to identify and recommend improvements and optimization. RESPONSIBILITIES Uses knowledge of existing and emerging data science engineering principles, theories, and techniques to inform business decisions; and produce accurate business insights. Completes projects and assignments of moderate scope and complexity under normal supervision to ensure customer and business needs are met. Applies discretion and independent judgement to interpret data trends and summarize data insights. Assists in the preliminary data exploration, data preparation for accurate model development. Establishes working relationships with others outside area of Data Science Engineering expertise. Prepares presentations of project outputs for external customers with assistance. Description Comments Additional Details Description Comments : Please include shift hours, detailed job specifications or other information that may be helpful in sourcing candidates for this role.Build the analytics foundation for eSupport applications Develop and maintain data models to support various business initiatives. Create predictive and prescriptive models to identify trends, opportunities, and potential risks. Ensure data accuracy, consistency, and completeness. Collaborate with data engineers to improve data quality and maintain data integrity. Work closely with cross-functional teams, including business stakeholders, to understand their data needs and translate them into actionable analytics projects. Maintain documentation for data analysis processes and findings. Ensure that insights are well-documented for reference. Stay updated with industry trends and best practices in data analysis and visualization. Seek opportunities to improve processes, tools, and methodologies. Bachelor s Degree in Computer Science, Engineering, IT, or equivalent professional experience 2-4 years of related experience Strong problem-solving skills and attention to detail. Excellent communication skills, both written and verbal. Ability to work independently and collaborate effectively in a team environment. Proficiency in Relational SQL or equivalent databases. Experience in object-oriented/object function scripting languages: Python, C#, Nodejs, etc. Developing, optimizing, and deploying ETL packages for complex data integration tasks. Proficiency in ETL tools such as (SSIS packages) is required.Desirable Requirements Understanding of machine learning concepts and the ability to apply machine learning techniques to data analysis tasks. Experience with data visualization tools (e.g., Power BI) and techniques. Experience in Python, SQL & NoSQL databases like MongoDB Not to Exceed Rate : (No Value)